Pandas Profiling Report

Dataset statistics

Number of variables	43
Number of observations	798
Missing cells	1457
Missing cells (%)	4.2%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	268.2 KiB
Average record size in memory	344.2 B

Variable types

Text	1
Numeric	14
Categorical	28

Alerts

`bluetooth` has constant value "1"	Constant
`os` is highly imbalanced (80.1%)	Imbalance
`warranty` is highly imbalanced (63.7%)	Imbalance
`aspect_ratio` is highly imbalanced (56.3%)	Imbalance
`touch_screen` is highly imbalanced (58.8%)	Imbalance
`hdd` is highly imbalanced (91.9%)	Imbalance
`hdmi` is highly imbalanced (68.7%)	Imbalance
`wifi` is highly imbalanced (96.4%)	Imbalance
`inbuilt_microphone` is highly imbalanced (90.3%)	Imbalance
`display_port` is highly imbalanced (86.5%)	Imbalance
`type_c` is highly imbalanced (83.8%)	Imbalance
`processor_brand` is highly imbalanced (53.7%)	Imbalance
`thickness` has 185 (23.2%) missing values	Missing
`weight` has 78 (9.8%) missing values	Missing
`cache` has 27 (3.4%) missing values	Missing
`thread` has 20 (2.5%) missing values	Missing
`camera` has 769 (96.4%) missing values	Missing
`num_of_cell` has 159 (19.9%) missing values	Missing
`battery_capacity` has 202 (25.3%) missing values	Missing
`name` has unique values	Unique

Reproduction

Analysis started	2024-08-17 18:29:31.424434
Analysis finished	2024-08-17 18:30:31.082761
Duration	59.66 seconds
Software version	ydata-profiling vv4.9.0
Download configuration	config.json

name
Text

UNIQUE

Distinct	798
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	6.4 KiB

Length

Max length	127
Median length	99
Mean length	86.833333
Min length	37

Characters and Unicode

Total characters	69293
Distinct characters	68
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	798 ?
Unique (%)	100.0%

Sample

1st row	Acer One 14 Z8-415 Laptop (11th Gen Core i3 / 8GB/ 512GB SSD/ Win11 Home)
2nd row	Wings Nuvobook V1 Laptop (11th Gen Core i5/ 8GB/ 512GB SSD/ Win11)
3rd row	MSI Thin GF63 12HW-012IN Gaming Laptop (12th Gen Core i5/ 16GB/ 512GB SSD/ Win11 Home/ 4GB Graphics)
4th row	Acer Nitro V ANV15-51 Gaming Laptop (13th Gen Core i5/ 8GB/ 512GB SSD/ Win11/ 6GB Graph)
5th row	Acer Aspire Lite AL15-51 Laptop (AMD Ryzen 5 5500U/ 16GB/ 512GB SSD/ Win11)

Value	Count	Frequency (%)
laptop	790	6.6%
ssd	764	6.4%
win11	665	5.6%
core	557	4.7%
gen	555	4.6%
512gb	525	4.4%
16gb	416	3.5%
home	379	3.2%
8gb	348	2.9%
graph	285	2.4%
Other values (1095)	6680	55.8%

Most occurring characters

Value	Count	Frequency (%)
	11166	16.1%
1	4454	6.4%
G	3145	4.5%
o	2944	4.2%
/	2710	3.9%
e	2483	3.6%
n	2303	3.3%
i	2197	3.2%
B	2112	3.0%
S	2091	3.0%
Other values (58)	33688	48.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	69293	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	11166	16.1%
1	4454	6.4%
G	3145	4.5%
o	2944	4.2%
/	2710	3.9%
e	2483	3.6%
n	2303	3.3%
i	2197	3.2%
B	2112	3.0%
S	2091	3.0%
Other values (58)	33688	48.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	69293	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	11166	16.1%
1	4454	6.4%
G	3145	4.5%
o	2944	4.2%
/	2710	3.9%
e	2483	3.6%
n	2303	3.3%
i	2197	3.2%
B	2112	3.0%
S	2091	3.0%
Other values (58)	33688	48.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	69293	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	11166	16.1%
1	4454	6.4%
G	3145	4.5%
o	2944	4.2%
/	2710	3.9%
e	2483	3.6%
n	2303	3.3%
i	2197	3.2%
B	2112	3.0%
S	2091	3.0%
Other values (58)	33688	48.6%

price
Real number (ℝ)

Distinct	395
Distinct (%)	49.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	85206.959

Minimum	11990
Maximum	569990
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.4 KiB

Quantile statistics

Minimum	11990
5-th percentile	26990
Q1	47990
median	65745
Q3	94990
95-th percentile	210171.35
Maximum	569990
Range	558000
Interquartile range (IQR)	47000

Descriptive statistics

Standard deviation	66340.745
Coefficient of variation (CV)	0.77858366
Kurtosis	10.531844
Mean	85206.959
Median Absolute Deviation (MAD)	22020
Skewness	2.8190422
Sum	67995153
Variance	4.4010945 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
59990	17	2.1%
54990	14	1.8%
62990	14	1.8%
49990	12	1.5%
69990	12	1.5%
58990	11	1.4%
36990	11	1.4%
109990	11	1.4%
79990	11	1.4%
44990	11	1.4%
Other values (385)	674	84.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
11990	2	0.3%
12989	1	0.1%
12990	1	0.1%
13990	1	0.1%
15990	2	0.3%
16990	4	0.5%
18990	3	0.4%
19990	1	0.1%
20890	1	0.1%
20990	2	0.3%

Value	Count	Frequency (%)
569990	1	0.1%
453490	1	0.1%
446390	1	0.1%
429990	1	0.1%
415000	1	0.1%
399999	1	0.1%
390914	1	0.1%
379990	1	0.1%
367590	1	0.1%
354490	1	0.1%

brand
Categorical

Distinct	27
Distinct (%)	3.4%
Missing	0
Missing (%)	0.0%
Memory size	6.4 KiB

Asus	164
HP	156
Lenovo	138
MSI	88
Dell	86
Other values (22)	166

Length

Max length	9
Median length	8
Mean length	4.0601504
Min length	2

Characters and Unicode

Total characters	3240
Distinct characters	41
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	0.6%

Sample

1st row	Acer
2nd row	Wings
3rd row	MSI
4th row	Acer
5th row	Acer

Common Values

Value	Count	Frequency (%)
Asus	164	20.6%
HP	156	19.5%
Lenovo	138	17.3%
MSI	88	11.0%
Dell	86	10.8%
Acer	73	9.1%
Infinix	17	2.1%
Samsung	11	1.4%
Apple	10	1.3%
LG	10	1.3%
Other values (17)	45	5.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
asus	165	20.7%
hp	156	19.5%
lenovo	138	17.3%
msi	88	11.0%
dell	86	10.8%
acer	73	9.1%
infinix	17	2.1%
samsung	11	1.4%
apple	10	1.3%
lg	10	1.3%
Other values (16)	44	5.5%

Most occurring characters

Value	Count	Frequency (%)
s	351	10.8%
e	326	10.1%
o	293	9.0%
A	252	7.8%
u	193	6.0%
n	192	5.9%
l	187	5.8%
H	162	5.0%
P	158	4.9%
L	150	4.6%
Other values (31)	976	30.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3240	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
s	351	10.8%
e	326	10.1%
o	293	9.0%
A	252	7.8%
u	193	6.0%
n	192	5.9%
l	187	5.8%
H	162	5.0%
P	158	4.9%
L	150	4.6%
Other values (31)	976	30.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3240	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
s	351	10.8%
e	326	10.1%
o	293	9.0%
A	252	7.8%
u	193	6.0%
n	192	5.9%
l	187	5.8%
H	162	5.0%
P	158	4.9%
L	150	4.6%
Other values (31)	976	30.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3240	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
s	351	10.8%
e	326	10.1%
o	293	9.0%
A	252	7.8%
u	193	6.0%
n	192	5.9%
l	187	5.8%
H	162	5.0%
P	158	4.9%
L	150	4.6%
Other values (31)	976	30.1%

no_of_votes
Real number (ℝ)

Distinct	242
Distinct (%)	30.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	284.86717

Minimum	51
Maximum	14917
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.4 KiB

Quantile statistics

Minimum	51
5-th percentile	56
Q1	74
median	94
Q3	122
95-th percentile	857.65
Maximum	14917
Range	14866
Interquartile range (IQR)	48

Descriptive statistics

Standard deviation	1086.8141
Coefficient of variation (CV)	3.8151609
Kurtosis	130.38878
Mean	284.86717
Median Absolute Deviation (MAD)	22
Skewness	10.772538
Sum	227324
Variance	1181164.9
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
91	18	2.3%
83	16	2.0%
110	15	1.9%
101	15	1.9%
106	15	1.9%
85	14	1.8%
58	14	1.8%
69	14	1.8%
94	14	1.8%
81	13	1.6%
Other values (232)	650	81.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
51	8	1.0%
52	7	0.9%
53	7	0.9%
54	8	1.0%
55	8	1.0%
56	11	1.4%
57	6	0.8%
58	14	1.8%
59	10	1.3%
60	10	1.3%

Value	Count	Frequency (%)
14917	1	0.1%
14846	1	0.1%
13399	1	0.1%
12724	1	0.1%
6907	1	0.1%
4833	1	0.1%
4046	1	0.1%
3129	1	0.1%
3050	1	0.1%
2964	1	0.1%

rating
Real number (ℝ)

Distinct	24
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.3323308

Minimum	3.55
Maximum	4.75
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.4 KiB

Quantile statistics

Minimum	3.55
5-th percentile	4
Q1	4.15
median	4.3
Q3	4.5
95-th percentile	4.7
Maximum	4.75
Range	1.2
Interquartile range (IQR)	0.35

Descriptive statistics

Standard deviation	0.23033951
Coefficient of variation (CV)	0.053167573
Kurtosis	-0.67660852
Mean	4.3323308
Median Absolute Deviation (MAD)	0.2
Skewness	0.06418695
Sum	3457.2
Variance	0.053056292
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
4.3	75	9.4%
4.2	72	9.0%
4.1	63	7.9%
4.15	57	7.1%
4.4	54	6.8%
4.25	51	6.4%
4.35	47	5.9%
4	46	5.8%
4.6	45	5.6%
4.5	42	5.3%
Other values (14)	246	30.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3.55	1	0.1%
3.65	2	0.3%
3.7	1	0.1%
3.75	1	0.1%
3.8	1	0.1%
3.85	3	0.4%
3.9	2	0.3%
3.95	9	1.1%
4	46	5.8%
4.05	39	4.9%

Value	Count	Frequency (%)
4.75	37	4.6%
4.7	37	4.6%
4.65	36	4.5%
4.6	45	5.6%
4.55	40	5.0%
4.5	42	5.3%
4.45	37	4.6%
4.4	54	6.8%
4.35	47	5.9%
4.3	75	9.4%

os
Categorical

IMBALANCE

Distinct	3
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	6.4 KiB

Windows	760
Others	28
Mac	10

Length

Max length	7
Median length	7
Mean length	6.914787
Min length	3

Characters and Unicode

Total characters	5518
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Windows
2nd row	Windows
3rd row	Windows
4th row	Windows
5th row	Windows

Common Values

Value	Count	Frequency (%)
Windows	760	95.2%
Others	28	3.5%
Mac	10	1.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
windows	760	95.2%
others	28	3.5%
mac	10	1.3%

Most occurring characters

Value	Count	Frequency (%)
s	788	14.3%
W	760	13.8%
i	760	13.8%
n	760	13.8%
d	760	13.8%
o	760	13.8%
w	760	13.8%
O	28	0.5%
t	28	0.5%
h	28	0.5%
Other values (5)	86	1.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5518	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
s	788	14.3%
W	760	13.8%
i	760	13.8%
n	760	13.8%
d	760	13.8%
o	760	13.8%
w	760	13.8%
O	28	0.5%
t	28	0.5%
h	28	0.5%
Other values (5)	86	1.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5518	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
s	788	14.3%
W	760	13.8%
i	760	13.8%
n	760	13.8%
d	760	13.8%
o	760	13.8%
w	760	13.8%
O	28	0.5%
t	28	0.5%
h	28	0.5%
Other values (5)	86	1.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5518	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
s	788	14.3%
W	760	13.8%
i	760	13.8%
n	760	13.8%
d	760	13.8%
o	760	13.8%
w	760	13.8%
O	28	0.5%
t	28	0.5%
h	28	0.5%
Other values (5)	86	1.6%

utility
Categorical

Distinct	4
Distinct (%)	0.5%
Missing	6
Missing (%)	0.8%
Memory size	6.4 KiB

Performance	352
Everyday Use	208
Gaming	173
Business	59

Length

Max length	12
Median length	11
Mean length	9.9469697
Min length	6

Characters and Unicode

Total characters	7878
Distinct characters	21
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Everyday Use
2nd row	Business
3rd row	Performance
4th row	Gaming
5th row	Performance

Common Values

Value	Count	Frequency (%)
Performance	352	44.1%
Everyday Use	208	26.1%
Gaming	173	21.7%
Business	59	7.4%
(Missing)	6	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
performance	352	35.2%
everyday	208	20.8%
use	208	20.8%
gaming	173	17.3%
business	59	5.9%

Most occurring characters

Value	Count	Frequency (%)
e	1179	15.0%
r	912	11.6%
a	733	9.3%
n	584	7.4%
m	525	6.7%
y	416	5.3%
s	385	4.9%
P	352	4.5%
f	352	4.5%
o	352	4.5%
Other values (11)	2088	26.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7878	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	1179	15.0%
r	912	11.6%
a	733	9.3%
n	584	7.4%
m	525	6.7%
y	416	5.3%
s	385	4.9%
P	352	4.5%
f	352	4.5%
o	352	4.5%
Other values (11)	2088	26.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7878	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	1179	15.0%
r	912	11.6%
a	733	9.3%
n	584	7.4%
m	525	6.7%
y	416	5.3%
s	385	4.9%
P	352	4.5%
f	352	4.5%
o	352	4.5%
Other values (11)	2088	26.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7878	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	1179	15.0%
r	912	11.6%
a	733	9.3%
n	584	7.4%
m	525	6.7%
y	416	5.3%
s	385	4.9%
P	352	4.5%
f	352	4.5%
o	352	4.5%
Other values (11)	2088	26.5%

thickness
Real number (ℝ)

MISSING

Distinct	110
Distinct (%)	17.9%
Missing	185
Missing (%)	23.2%
Infinite	0
Infinite (%)	0.0%
Mean	26.717129

Minimum	1.95
Maximum	376.17
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.4 KiB

Quantile statistics

Minimum	1.95
5-th percentile	15.1
Q1	17.9
median	19.8
Q3	22.5
95-th percentile	27.2
Maximum	376.17
Range	374.22
Interquartile range (IQR)	4.6

Descriptive statistics

Standard deviation	40.308621
Coefficient of variation (CV)	1.5087183
Kurtosis	32.443346
Mean	26.717129
Median Absolute Deviation (MAD)	1.9
Skewness	5.7276824
Sum	16377.6
Variance	1624.7849
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
19.9	97	12.2%
17.9	78	9.8%
18.9	28	3.5%
24.9	17	2.1%
19	17	2.1%
23.5	16	2.0%
17	16	2.0%
21.7	15	1.9%
26.9	13	1.6%
16.9	12	1.5%
Other values (100)	304	38.1%
(Missing)	185	23.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.95	1	0.1%
2.6	4	0.5%
9	1	0.1%
10.9	4	0.5%
11.3	1	0.1%
11.5	1	0.1%
11.65	1	0.1%
12.8	1	0.1%
12.9	1	0.1%
12.95	1	0.1%

Value	Count	Frequency (%)
376.17	1	0.1%
277.33	1	0.1%
263.8	1	0.1%
259.4	1	0.1%
259	4	0.5%
249.1	2	0.3%
242	3	0.4%
240	1	0.1%
234.3	3	0.4%
211.1	1	0.1%

weight
Real number (ℝ)

MISSING

Distinct	105
Distinct (%)	14.6%
Missing	78
Missing (%)	9.8%
Infinite	0
Infinite (%)	0.0%
Mean	1.8346806

Minimum	1
Maximum	3.86
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1.3
Q1	1.57
median	1.74
Q3	2.14
95-th percentile	2.6
Maximum	3.86
Range	2.86
Interquartile range (IQR)	0.57

Descriptive statistics

Standard deviation	0.41023709
Coefficient of variation (CV)	0.22360137
Kurtosis	0.82450162
Mean	1.8346806
Median Absolute Deviation (MAD)	0.24
Skewness	0.92021243
Sum	1320.97
Variance	0.16829447
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.8	55	6.9%
1.7	54	6.8%
2.25	33	4.1%
1.86	26	3.3%
1.4	26	3.3%
1.5	25	3.1%
1.69	24	3.0%
1.6	21	2.6%
1.65	20	2.5%
1.75	17	2.1%
Other values (95)	419	52.5%
(Missing)	78	9.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	3	0.4%
1.16	1	0.1%
1.18	1	0.1%
1.19	2	0.3%
1.2	4	0.5%
1.21	1	0.1%
1.23	2	0.3%
1.24	11	1.4%
1.25	4	0.5%
1.29	4	0.5%

Value	Count	Frequency (%)
3.86	1	0.1%
3.3	1	0.1%
3.25	1	0.1%
3.23	2	0.3%
3	2	0.3%
2.87	2	0.3%
2.8	4	0.5%
2.77	1	0.1%
2.72	4	0.5%
2.7	7	0.9%

warranty
Categorical

IMBALANCE

Distinct	3
Distinct (%)	0.4%
Missing	5
Missing (%)	0.6%
Memory size	6.4 KiB

1.0	700
2.0	84
3.0	9

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	2379
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	2.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	700	87.7%
2.0	84	10.5%
3.0	9	1.1%
(Missing)	5	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	700	88.3%
2.0	84	10.6%
3.0	9	1.1%

Most occurring characters

Value	Count	Frequency (%)
.	793	33.3%
0	793	33.3%
1	700	29.4%
2	84	3.5%
3	9	0.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2379	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	793	33.3%
0	793	33.3%
1	700	29.4%
2	84	3.5%
3	9	0.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2379	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	793	33.3%
0	793	33.3%
1	700	29.4%
2	84	3.5%
3	9	0.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2379	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	793	33.3%
0	793	33.3%
1	700	29.4%
2	84	3.5%
3	9	0.4%

display_size
Real number (ℝ)

Distinct	20
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.191805

Minimum	11.6
Maximum	18
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.4 KiB

Quantile statistics

Minimum	11.6
5-th percentile	14
Q1	14
median	15.6
Q3	15.6
95-th percentile	16.1
Maximum	18
Range	6.4
Interquartile range (IQR)	1.6

Descriptive statistics

Standard deviation	0.9453087
Coefficient of variation (CV)	0.062224912
Kurtosis	0.61726174
Mean	15.191805
Median Absolute Deviation (MAD)	0
Skewness	-0.72980231
Sum	12123.06
Variance	0.89360853
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
15.6	416	52.1%
14	195	24.4%
16	100	12.5%
13.3	21	2.6%
16.1	17	2.1%
17.3	14	1.8%
17	7	0.9%
11.6	6	0.8%
14.1	5	0.6%
13.4	4	0.5%
Other values (10)	13	1.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
11.6	6	0.8%
13	1	0.1%
13.3	21	2.6%
13.4	4	0.5%
13.5	1	0.1%
13.6	1	0.1%
14	195	24.4%
14.1	5	0.6%
14.2	2	0.3%
14.5	2	0.3%

Value	Count	Frequency (%)
18	2	0.3%
17.3	14	1.8%
17	7	0.9%
16.2	1	0.1%
16.1	17	2.1%
16	100	12.5%
15.6	416	52.1%
15.56	1	0.1%
15.3	1	0.1%
15	1	0.1%

ppi
Real number (ℝ)

Distinct	50
Distinct (%)	6.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	159.0589

Minimum	100
Maximum	323
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.4 KiB

Quantile statistics

Minimum	100
5-th percentile	127
Q1	141
median	141
Q3	157
95-th percentile	250
Maximum	323
Range	223
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	37.956163
Coefficient of variation (CV)	0.23862961
Kurtosis	3.181529
Mean	159.0589
Median Absolute Deviation (MAD)	1
Skewness	1.9033281
Sum	126929
Variance	1440.6703
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
141	370	46.4%
157	103	12.9%
142	37	4.6%
162	33	4.1%
112	21	2.6%
283	21	2.6%
243	20	2.5%
137	19	2.4%
189	17	2.1%
100	12	1.5%
Other values (40)	145	18.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
100	12	1.5%
112	21	2.6%
127	8	1.0%
134	1	0.1%
135	9	1.1%
137	19	2.4%
138	3	0.4%
140	4	0.5%
141	370	46.4%
142	37	4.6%

Value	Count	Frequency (%)
323	1	0.1%
290	2	0.3%
283	21	2.6%
280	2	0.3%
266	2	0.3%
264	1	0.1%
263	1	0.1%
255	7	0.9%
254	2	0.3%
250	2	0.3%

aspect_ratio
Categorical

IMBALANCE

Distinct	3
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	6.4 KiB

16:9	659
16:10	136
3:2	3

Length

Max length	5
Median length	4
Mean length	4.1666667
Min length	3

Characters and Unicode

Total characters	3325
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	16:9
2nd row	16:9
3rd row	16:9
4th row	16:9
5th row	16:9

Common Values

Value	Count	Frequency (%)
16:9	659	82.6%
16:10	136	17.0%
3:2	3	0.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
16:9	659	82.6%
16:10	136	17.0%
3:2	3	0.4%

Most occurring characters

Value	Count	Frequency (%)
1	931	28.0%
:	798	24.0%
6	795	23.9%
9	659	19.8%
0	136	4.1%
3	3	0.1%
2	3	0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3325	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	931	28.0%
:	798	24.0%
6	795	23.9%
9	659	19.8%
0	136	4.1%
3	3	0.1%
2	3	0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3325	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	931	28.0%
:	798	24.0%
6	795	23.9%
9	659	19.8%
0	136	4.1%
3	3	0.1%
2	3	0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3325	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	931	28.0%
:	798	24.0%
6	795	23.9%
9	659	19.8%
0	136	4.1%
3	3	0.1%
2	3	0.1%

antiglare
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.4 KiB

1	671
0	127

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	798
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	671	84.1%
0	127	15.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	671	84.1%
0	127	15.9%

Most occurring characters

Value	Count	Frequency (%)
1	671	84.1%
0	127	15.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	671	84.1%
0	127	15.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	671	84.1%
0	127	15.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	671	84.1%
0	127	15.9%

touch_screen
Categorical

IMBALANCE

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.4 KiB

0	732
1	66

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	798
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	732	91.7%
1	66	8.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	732	91.7%
1	66	8.3%

Most occurring characters

Value	Count	Frequency (%)
0	732	91.7%
1	66	8.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	732	91.7%
1	66	8.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	732	91.7%
1	66	8.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	732	91.7%
1	66	8.3%

ram
Real number (ℝ)

Distinct	6
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13.789474

Minimum	4
Maximum	64
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.4 KiB

Quantile statistics

Minimum	4
5-th percentile	8
Q1	8
median	16
Q3	16
95-th percentile	32
Maximum	64
Range	60
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	6.7673873
Coefficient of variation (CV)	0.49076472
Kurtosis	11.783063
Mean	13.789474
Median Absolute Deviation (MAD)	0
Skewness	2.3522104
Sum	11004
Variance	45.79753
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
16	431	54.0%
8	298	37.3%
32	45	5.6%
4	20	2.5%
64	3	0.4%
12	1	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	20	2.5%
8	298	37.3%
12	1	0.1%
16	431	54.0%
32	45	5.6%
64	3	0.4%

Value	Count	Frequency (%)
64	3	0.4%
32	45	5.6%
16	431	54.0%
12	1	0.1%
8	298	37.3%
4	20	2.5%

hdd
Categorical

IMBALANCE

Distinct	5
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	6.4 KiB

0	779
1024	15
64	2
128	1
32	1

Length

Max length	4
Median length	1
Mean length	1.0626566
Min length	1

Characters and Unicode

Total characters	848
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.3%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	779	97.6%
1024	15	1.9%
64	2	0.3%
128	1	0.1%
32	1	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	779	97.6%
1024	15	1.9%
64	2	0.3%
128	1	0.1%
32	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	794	93.6%
2	17	2.0%
4	17	2.0%
1	16	1.9%
6	2	0.2%
8	1	0.1%
3	1	0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	848	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	794	93.6%
2	17	2.0%
4	17	2.0%
1	16	1.9%
6	2	0.2%
8	1	0.1%
3	1	0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	848	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	794	93.6%
2	17	2.0%
4	17	2.0%
1	16	1.9%
6	2	0.2%
8	1	0.1%
3	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	848	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	794	93.6%
2	17	2.0%
4	17	2.0%
1	16	1.9%
6	2	0.2%
8	1	0.1%
3	1	0.1%

ssd
Real number (ℝ)

Distinct	8
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	613.69424

Minimum	0
Maximum	4096
Zeros	6
Zeros (%)	0.8%
Negative	0
Negative (%)	0.0%
Memory size	6.4 KiB

Quantile statistics

Minimum	0
5-th percentile	256
Q1	512
median	512
Q3	512
95-th percentile	1024
Maximum	4096
Range	4096
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	308.22133
Coefficient of variation (CV)	0.50223925
Kurtosis	24.462445
Mean	613.69424
Median Absolute Deviation (MAD)	0
Skewness	3.3226427
Sum	489728
Variance	95000.388
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
512	567	71.1%
1024	158	19.8%
256	48	6.0%
2048	10	1.3%
0	6	0.8%
128	4	0.5%
64	4	0.5%
4096	1	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	6	0.8%
64	4	0.5%
128	4	0.5%
256	48	6.0%
512	567	71.1%
1024	158	19.8%
2048	10	1.3%
4096	1	0.1%

Value	Count	Frequency (%)
4096	1	0.1%
2048	10	1.3%
1024	158	19.8%
512	567	71.1%
256	48	6.0%
128	4	0.5%
64	4	0.5%
0	6	0.8%

graphic
Categorical

Distinct	3
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	6.4 KiB

Integrated	372
NVIDIA	299
AMD	127

Length

Max length	10
Median length	6
Mean length	7.387218
Min length	3

Characters and Unicode

Total characters	5895
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Integrated
2nd row	Integrated
3rd row	Integrated
4th row	NVIDIA
5th row	Integrated

Common Values

Value	Count	Frequency (%)
Integrated	372	46.6%
NVIDIA	299	37.5%
AMD	127	15.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
integrated	372	46.6%
nvidia	299	37.5%
amd	127	15.9%

Most occurring characters

Value	Count	Frequency (%)
I	970	16.5%
t	744	12.6%
e	744	12.6%
D	426	7.2%
A	426	7.2%
n	372	6.3%
g	372	6.3%
r	372	6.3%
a	372	6.3%
d	372	6.3%
Other values (3)	725	12.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5895	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
I	970	16.5%
t	744	12.6%
e	744	12.6%
D	426	7.2%
A	426	7.2%
n	372	6.3%
g	372	6.3%
r	372	6.3%
a	372	6.3%
d	372	6.3%
Other values (3)	725	12.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5895	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
I	970	16.5%
t	744	12.6%
e	744	12.6%
D	426	7.2%
A	426	7.2%
n	372	6.3%
g	372	6.3%
r	372	6.3%
a	372	6.3%
d	372	6.3%
Other values (3)	725	12.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5895	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
I	970	16.5%
t	744	12.6%
e	744	12.6%
D	426	7.2%
A	426	7.2%
n	372	6.3%
g	372	6.3%
r	372	6.3%
a	372	6.3%
d	372	6.3%
Other values (3)	725	12.3%

cache
Categorical

MISSING

Distinct	16
Distinct (%)	2.1%
Missing	27
Missing (%)	3.4%
Memory size	6.4 KiB

12	235
16	126
24	97
4	72
8	63
Other values (11)	178

Length

Max length	17
Median length	2
Mean length	1.7808042
Min length	1

Characters and Unicode

Total characters	1373
Distinct characters	18
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	0.4%

Sample

1st row	6
2nd row	8
3rd row	12
4th row	12
5th row	8

Common Values

Value	Count	Frequency (%)
12	235	29.4%
16	126	15.8%
24	97	12.2%
4	72	9.0%
8	63	7.9%
18	59	7.4%
6	47	5.9%
10	38	4.8%
36	13	1.6%
30	9	1.1%
Other values (6)	12	1.5%
(Missing)	27	3.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
12	235	30.4%
16	126	16.3%
24	97	12.5%
4	72	9.3%
8	63	8.2%
18	59	7.6%
6	47	6.1%
10	38	4.9%
36	13	1.7%
30	9	1.2%
Other values (7)	14	1.8%

Most occurring characters

Value	Count	Frequency (%)
1	458	33.4%
2	339	24.7%
6	189	13.8%
4	172	12.5%
8	122	8.9%
0	51	3.7%
3	24	1.7%
a	3	0.2%
	2	0.1%
h	2	0.1%
Other values (8)	11	0.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1373	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	458	33.4%
2	339	24.7%
6	189	13.8%
4	172	12.5%
8	122	8.9%
0	51	3.7%
3	24	1.7%
a	3	0.2%
	2	0.1%
h	2	0.1%
Other values (8)	11	0.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1373	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	458	33.4%
2	339	24.7%
6	189	13.8%
4	172	12.5%
8	122	8.9%
0	51	3.7%
3	24	1.7%
a	3	0.2%
	2	0.1%
h	2	0.1%
Other values (8)	11	0.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1373	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	458	33.4%
2	339	24.7%
6	189	13.8%
4	172	12.5%
8	122	8.9%
0	51	3.7%
3	24	1.7%
a	3	0.2%
	2	0.1%
h	2	0.1%
Other values (8)	11	0.8%

thread
Real number (ℝ)

MISSING

Distinct	9
Distinct (%)	1.2%
Missing	20
Missing (%)	2.5%
Infinite	0
Infinite (%)	0.0%
Mean	12.478149

Minimum	2
Maximum	32
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.4 KiB

Quantile statistics

Minimum	2
5-th percentile	4
Q1	8
median	12
Q3	16
95-th percentile	20
Maximum	32
Range	30
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	5.2556434
Coefficient of variation (CV)	0.42118773
Kurtosis	1.9502163
Mean	12.478149
Median Absolute Deviation (MAD)	4
Skewness	0.63520005
Sum	9708
Variance	27.621787
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
12	284	35.6%
16	191	23.9%
8	143	17.9%
20	59	7.4%
4	48	6.0%
2	27	3.4%
32	13	1.6%
24	10	1.3%
6	3	0.4%
(Missing)	20	2.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	27	3.4%
4	48	6.0%
6	3	0.4%
8	143	17.9%
12	284	35.6%
16	191	23.9%
20	59	7.4%
24	10	1.3%
32	13	1.6%

Value	Count	Frequency (%)
32	13	1.6%
24	10	1.3%
20	59	7.4%
16	191	23.9%
12	284	35.6%
8	143	17.9%
6	3	0.4%
4	48	6.0%
2	27	3.4%

core
Real number (ℝ)

Distinct	10
Distinct (%)	1.3%
Missing	4
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	8.2380353

Minimum	2
Maximum	24
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.4 KiB

Quantile statistics

Minimum	2
5-th percentile	2
Q1	6
median	8
Q3	10
95-th percentile	14
Maximum	24
Range	22
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	4.0442089
Coefficient of variation (CV)	0.49091911
Kurtosis	2.086057
Mean	8.2380353
Median Absolute Deviation (MAD)	2
Skewness	0.90330937
Sum	6541
Variance	16.355626
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
6	156	19.5%
8	149	18.7%
10	145	18.2%
4	95	11.9%
12	88	11.0%
2	71	8.9%
14	63	7.9%
24	13	1.6%
16	11	1.4%
5	3	0.4%
(Missing)	4	0.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	71	8.9%
4	95	11.9%
5	3	0.4%
6	156	19.5%
8	149	18.7%
10	145	18.2%
12	88	11.0%
14	63	7.9%
16	11	1.4%
24	13	1.6%

Value	Count	Frequency (%)
24	13	1.6%
16	11	1.4%
14	63	7.9%
12	88	11.0%
10	145	18.2%
8	149	18.7%
6	156	19.5%
5	3	0.4%
4	95	11.9%
2	71	8.9%

hdmi
Categorical

IMBALANCE

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.4 KiB

1	753
0	45

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	798
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	753	94.4%
0	45	5.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	753	94.4%
0	45	5.6%

Most occurring characters

Value	Count	Frequency (%)
1	753	94.4%
0	45	5.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	753	94.4%
0	45	5.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	753	94.4%
0	45	5.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	753	94.4%
0	45	5.6%

mcr
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.4 KiB

0	558
1	240

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	798
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	558	69.9%
1	240	30.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	558	69.9%
1	240	30.1%

Most occurring characters

Value	Count	Frequency (%)
0	558	69.9%
1	240	30.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	558	69.9%
1	240	30.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	558	69.9%
1	240	30.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	558	69.9%
1	240	30.1%

wifi
Categorical

IMBALANCE

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.4 KiB

1	795
0	3

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	798
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	795	99.6%
0	3	0.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	795	99.6%
0	3	0.4%

Most occurring characters

Value	Count	Frequency (%)
1	795	99.6%
0	3	0.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	795	99.6%
0	3	0.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	795	99.6%
0	3	0.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	795	99.6%
0	3	0.4%

bluetooth
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	6.4 KiB

1	798

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	798
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	798	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	798	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	798	100.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	798	100.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	798	100.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	798	100.0%

backlit_keyboard
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.4 KiB

1	640
0	158

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	798
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	640	80.2%
0	158	19.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	640	80.2%
0	158	19.8%

Most occurring characters

Value	Count	Frequency (%)
1	640	80.2%
0	158	19.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	640	80.2%
0	158	19.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	640	80.2%
0	158	19.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	640	80.2%
0	158	19.8%

inbuilt_microphone
Categorical

IMBALANCE

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.4 KiB

1	788
0	10

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	798
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	788	98.7%
0	10	1.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	788	98.7%
0	10	1.3%

Most occurring characters

Value	Count	Frequency (%)
1	788	98.7%
0	10	1.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	788	98.7%
0	10	1.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	788	98.7%
0	10	1.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	788	98.7%
0	10	1.3%

thunderbolt
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.4 KiB

0	579
1	219

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	798
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	579	72.6%
1	219	27.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	579	72.6%
1	219	27.4%

Most occurring characters

Value	Count	Frequency (%)
0	579	72.6%
1	219	27.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	579	72.6%
1	219	27.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	579	72.6%
1	219	27.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	579	72.6%
1	219	27.4%

fingerprint_sensor
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.4 KiB

0	552
1	246

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	798
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	552	69.2%
1	246	30.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	552	69.2%
1	246	30.8%

Most occurring characters

Value	Count	Frequency (%)
0	552	69.2%
1	246	30.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	552	69.2%
1	246	30.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	552	69.2%
1	246	30.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	552	69.2%
1	246	30.8%

ethernet
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.4 KiB

0	456
1	342

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	798
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	456	57.1%
1	342	42.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	456	57.1%
1	342	42.9%

Most occurring characters

Value	Count	Frequency (%)
0	456	57.1%
1	342	42.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	456	57.1%
1	342	42.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	456	57.1%
1	342	42.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	456	57.1%
1	342	42.9%

display_port
Categorical

IMBALANCE

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.4 KiB

0	783
1	15

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	798
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	783	98.1%
1	15	1.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	783	98.1%
1	15	1.9%

Most occurring characters

Value	Count	Frequency (%)
0	783	98.1%
1	15	1.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	783	98.1%
1	15	1.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	783	98.1%
1	15	1.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	783	98.1%
1	15	1.9%

camera
Categorical

MISSING

Distinct	5
Distinct (%)	17.2%
Missing	769
Missing (%)	96.4%
Memory size	6.4 KiB

5.0	15
2.0	7
1.0	4
0.3	2
720.0	1

Length

Max length	5
Median length	3
Mean length	3.0689655
Min length	3

Characters and Unicode

Total characters	89
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	3.4%

Sample

1st row	2.0
2nd row	2.0
3rd row	1.0
4th row	5.0
5th row	5.0

Common Values

Value	Count	Frequency (%)
5.0	15	1.9%
2.0	7	0.9%
1.0	4	0.5%
0.3	2	0.3%
720.0	1	0.1%
(Missing)	769	96.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
5.0	15	51.7%
2.0	7	24.1%
1.0	4	13.8%
0.3	2	6.9%
720.0	1	3.4%

Most occurring characters

Value	Count	Frequency (%)
0	30	33.7%
.	29	32.6%
5	15	16.9%
2	8	9.0%
1	4	4.5%
3	2	2.2%
7	1	1.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	89	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	30	33.7%
.	29	32.6%
5	15	16.9%
2	8	9.0%
1	4	4.5%
3	2	2.2%
7	1	1.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	89	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	30	33.7%
.	29	32.6%
5	15	16.9%
2	8	9.0%
1	4	4.5%
3	2	2.2%
7	1	1.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	89	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	30	33.7%
.	29	32.6%
5	15	16.9%
2	8	9.0%
1	4	4.5%
3	2	2.2%
7	1	1.1%

num_of_cell
Categorical

MISSING

Distinct	4
Distinct (%)	0.6%
Missing	159
Missing (%)	19.9%
Memory size	6.4 KiB

3.0	413
4.0	154
6.0	44
2.0	28

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1917
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	3.0
3rd row	3.0
4th row	4.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
3.0	413	51.8%
4.0	154	19.3%
6.0	44	5.5%
2.0	28	3.5%
(Missing)	159	19.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3.0	413	64.6%
4.0	154	24.1%
6.0	44	6.9%
2.0	28	4.4%

Most occurring characters

Value	Count	Frequency (%)
.	639	33.3%
0	639	33.3%
3	413	21.5%
4	154	8.0%
6	44	2.3%
2	28	1.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1917	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	639	33.3%
0	639	33.3%
3	413	21.5%
4	154	8.0%
6	44	2.3%
2	28	1.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1917	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	639	33.3%
0	639	33.3%
3	413	21.5%
4	154	8.0%
6	44	2.3%
2	28	1.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1917	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	639	33.3%
0	639	33.3%
3	413	21.5%
4	154	8.0%
6	44	2.3%
2	28	1.5%

battery_capacity
Real number (ℝ)

MISSING

Distinct	59
Distinct (%)	9.9%
Missing	202
Missing (%)	25.3%
Infinite	0
Infinite (%)	0.0%
Mean	57.002936

Minimum	6
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.4 KiB

Quantile statistics

Minimum	6
5-th percentile	39.825
Q1	45
median	52.5
Q3	68.575
95-th percentile	90
Maximum	100
Range	94
Interquartile range (IQR)	23.575

Descriptive statistics

Standard deviation	17.536492
Coefficient of variation (CV)	0.30764191
Kurtosis	0.10937653
Mean	57.002936
Median Absolute Deviation (MAD)	10.5
Skewness	0.80549918
Sum	33973.75
Variance	307.52857
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
41	79	9.9%
50	62	7.8%
45	38	4.8%
90	37	4.6%
70	35	4.4%
53.5	29	3.6%
52.5	28	3.5%
54	22	2.8%
42	19	2.4%
51	17	2.1%
Other values (49)	230	28.8%
(Missing)	202	25.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
6	1	0.1%
17.85	5	0.6%
18.5	3	0.4%
36	6	0.8%
37	7	0.9%
38	7	0.9%
39.3	1	0.1%
40	9	1.1%
41	79	9.9%
42	19	2.4%

Value	Count	Frequency (%)
100	1	0.1%
99.9	6	0.8%
99	9	1.1%
97	7	0.9%
96	1	0.1%
94.3	1	0.1%
90	37	4.6%
87	1	0.1%
86	13	1.6%
84	1	0.1%

pixel_width
Real number (ℝ)

Distinct	18
Distinct (%)	2.3%
Missing	1
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	2040.9084

Minimum	1080
Maximum	3840
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.4 KiB

Quantile statistics

Minimum	1080
5-th percentile	1366
Q1	1920
median	1920
Q3	1920
95-th percentile	2880
Maximum	3840
Range	2760
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	442.0295
Coefficient of variation (CV)	0.21658468
Kurtosis	5.4209197
Mean	2040.9084
Median Absolute Deviation (MAD)	0
Skewness	2.0450953
Sum	1626604
Variance	195390.08
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
1920	616	77.2%
2560	57	7.1%
1366	38	4.8%
2880	31	3.9%
3840	17	2.1%
3200	12	1.5%
1600	6	0.8%
1080	5	0.6%
1200	3	0.4%
3456	3	0.4%
Other values (8)	9	1.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1080	5	0.6%
1200	3	0.4%
1366	38	4.8%
1440	1	0.1%
1600	6	0.8%
1920	616	77.2%
2160	1	0.1%
2240	1	0.1%
2520	1	0.1%
2560	57	7.1%

Value	Count	Frequency (%)
3840	17	2.1%
3480	1	0.1%
3456	3	0.4%
3200	12	1.5%
3120	1	0.1%
3072	2	0.3%
3024	1	0.1%
2880	31	3.9%
2560	57	7.1%
2520	1	0.1%

pixel_height
Real number (ℝ)

Distinct	21
Distinct (%)	2.6%
Missing	1
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	1216.7503

Minimum	768
Maximum	2560
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.4 KiB

Quantile statistics

Minimum	768
5-th percentile	1080
Q1	1080
median	1080
Q3	1200
95-th percentile	1920
Maximum	2560
Range	1792
Interquartile range (IQR)	120

Descriptive statistics

Standard deviation	330.64643
Coefficient of variation (CV)	0.2717455
Kurtosis	4.4617572
Mean	1216.7503
Median Absolute Deviation (MAD)	0
Skewness	2.1076996
Sum	969750
Variance	109327.06
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
1080	516	64.7%
1200	98	12.3%
1600	44	5.5%
768	38	4.8%
1800	30	3.8%
2400	15	1.9%
1440	12	1.5%
1920	10	1.3%
2560	7	0.9%
2000	7	0.9%
Other values (11)	20	2.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
768	38	4.8%
1080	516	64.7%
1200	98	12.3%
1280	1	0.1%
1400	1	0.1%
1440	12	1.5%
1600	44	5.5%
1620	5	0.6%
1660	1	0.1%
1664	1	0.1%

Value	Count	Frequency (%)
2560	7	0.9%
2400	15	1.9%
2234	1	0.1%
2160	6	0.8%
2080	1	0.1%
2000	7	0.9%
1964	1	0.1%
1920	10	1.3%
1864	1	0.1%
1800	30	3.8%

usb3
Categorical

Distinct	5
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	6.4 KiB

2	345
0	283
3	108
1	60
4	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	798
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	3
4th row	3
5th row	0

Common Values

Value	Count	Frequency (%)
2	345	43.2%
0	283	35.5%
3	108	13.5%
1	60	7.5%
4	2	0.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	345	43.2%
0	283	35.5%
3	108	13.5%
1	60	7.5%
4	2	0.3%

Most occurring characters

Value	Count	Frequency (%)
2	345	43.2%
0	283	35.5%
3	108	13.5%
1	60	7.5%
4	2	0.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	345	43.2%
0	283	35.5%
3	108	13.5%
1	60	7.5%
4	2	0.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	345	43.2%
0	283	35.5%
3	108	13.5%
1	60	7.5%
4	2	0.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	345	43.2%
0	283	35.5%
3	108	13.5%
1	60	7.5%
4	2	0.3%

usb2
Categorical

Distinct	3
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	6.4 KiB

0	561
1	195
2	42

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	798
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	561	70.3%
1	195	24.4%
2	42	5.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	561	70.3%
1	195	24.4%
2	42	5.3%

Most occurring characters

Value	Count	Frequency (%)
0	561	70.3%
1	195	24.4%
2	42	5.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	561	70.3%
1	195	24.4%
2	42	5.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	561	70.3%
1	195	24.4%
2	42	5.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	561	70.3%
1	195	24.4%
2	42	5.3%

type_c
Categorical

IMBALANCE

Distinct	5
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	6.4 KiB

0	758
1	16
2	13
3	8
4	3

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	798
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	758	95.0%
1	16	2.0%
2	13	1.6%
3	8	1.0%
4	3	0.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	758	95.0%
1	16	2.0%
2	13	1.6%
3	8	1.0%
4	3	0.4%

Most occurring characters

Value	Count	Frequency (%)
0	758	95.0%
1	16	2.0%
2	13	1.6%
3	8	1.0%
4	3	0.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	758	95.0%
1	16	2.0%
2	13	1.6%
3	8	1.0%
4	3	0.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	758	95.0%
1	16	2.0%
2	13	1.6%
3	8	1.0%
4	3	0.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	798	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	758	95.0%
1	16	2.0%
2	13	1.6%
3	8	1.0%
4	3	0.4%

processor_brand
Categorical

IMBALANCE

Distinct	4
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	6.4 KiB

Intel	581
AMD	207
Apple	8
Mediatek	2

Length

Max length	8
Median length	5
Mean length	4.4887218
Min length	3

Characters and Unicode

Total characters	3582
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Intel
2nd row	Intel
3rd row	Intel
4th row	Intel
5th row	AMD

Common Values

Value	Count	Frequency (%)
Intel	581	72.8%
AMD	207	25.9%
Apple	8	1.0%
Mediatek	2	0.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
intel	581	72.8%
amd	207	25.9%
apple	8	1.0%
mediatek	2	0.3%

Most occurring characters

Value	Count	Frequency (%)
e	593	16.6%
l	589	16.4%
t	583	16.3%
I	581	16.2%
n	581	16.2%
A	215	6.0%
M	209	5.8%
D	207	5.8%
p	16	0.4%
d	2	0.1%
Other values (3)	6	0.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3582	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	593	16.6%
l	589	16.4%
t	583	16.3%
I	581	16.2%
n	581	16.2%
A	215	6.0%
M	209	5.8%
D	207	5.8%
p	16	0.4%
d	2	0.1%
Other values (3)	6	0.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3582	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	593	16.6%
l	589	16.4%
t	583	16.3%
I	581	16.2%
n	581	16.2%
A	215	6.0%
M	209	5.8%
D	207	5.8%
p	16	0.4%
d	2	0.1%
Other values (3)	6	0.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3582	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	593	16.6%
l	589	16.4%
t	583	16.3%
I	581	16.2%
n	581	16.2%
A	215	6.0%
M	209	5.8%
D	207	5.8%
p	16	0.4%
d	2	0.1%
Other values (3)	6	0.2%

processor_model
Categorical

Distinct	22
Distinct (%)	2.8%
Missing	0
Missing (%)	0.0%
Memory size	6.4 KiB

i5	276
i7	144
5	107
i3	91
7	57
Other values (17)	123

Length

Max length	7
Median length	2
Mean length	1.914787
Min length	1

Characters and Unicode

Total characters	1528
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	0.6%

Sample

1st row	i3
2nd row	i5
3rd row	i5
4th row	i5
5th row	5

Common Values

Value	Count	Frequency (%)
i5	276	34.6%
i7	144	18.0%
5	107	13.4%
i3	91	11.4%
7	57	7.1%
i9	38	4.8%
3	21	2.6%
N4020	13	1.6%
9	12	1.5%
N4500	8	1.0%
Other values (12)	31	3.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
i5	276	34.6%
i7	144	18.0%
5	107	13.4%
i3	91	11.4%
7	57	7.1%
i9	38	4.8%
3	21	2.6%
n4020	13	1.6%
9	12	1.5%
n4500	8	1.0%
Other values (12)	31	3.9%

Most occurring characters

Value	Count	Frequency (%)
i	549	35.9%
5	408	26.7%
7	206	13.5%
3	125	8.2%
0	73	4.8%
9	51	3.3%
N	32	2.1%
4	25	1.6%
2	22	1.4%
M	10	0.7%
Other values (9)	27	1.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1528	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	549	35.9%
5	408	26.7%
7	206	13.5%
3	125	8.2%
0	73	4.8%
9	51	3.3%
N	32	2.1%
4	25	1.6%
2	22	1.4%
M	10	0.7%
Other values (9)	27	1.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1528	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	549	35.9%
5	408	26.7%
7	206	13.5%
3	125	8.2%
0	73	4.8%
9	51	3.3%
N	32	2.1%
4	25	1.6%
2	22	1.4%
M	10	0.7%
Other values (9)	27	1.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1528	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	549	35.9%
5	408	26.7%
7	206	13.5%
3	125	8.2%
0	73	4.8%
9	51	3.3%
N	32	2.1%
4	25	1.6%
2	22	1.4%
M	10	0.7%
Other values (9)	27	1.8%

processor_gen
Categorical

Distinct	16
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Memory size	6.4 KiB

12th	215
13th	212
11th	109
7th	97
5th	75
Other values (11)	90

Length

Max length	8
Median length	4
Mean length	3.7882206
Min length	3

Characters and Unicode

Total characters	3023
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.3%

Sample

1st row	11th
2nd row	11th
3rd row	12th
4th row	13th
5th row	5th

Common Values

Value	Count	Frequency (%)
12th	215	26.9%
13th	212	26.6%
11th	109	13.7%
7th	97	12.2%
5th	75	9.4%
Intel	27	3.4%
6th	14	1.8%
3rd	14	1.8%
10th	11	1.4%
Apple	8	1.0%
Other values (6)	16	2.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
12th	215	26.9%
13th	212	26.6%
11th	109	13.7%
7th	97	12.2%
5th	75	9.4%
intel	28	3.5%
6th	14	1.8%
3rd	14	1.8%
10th	11	1.4%
apple	8	1.0%
Other values (5)	15	1.9%

Most occurring characters

Value	Count	Frequency (%)
t	769	25.4%
h	741	24.5%
1	656	21.7%
3	226	7.5%
2	215	7.1%
7	97	3.2%
5	75	2.5%
e	40	1.3%
l	36	1.2%
n	28	0.9%
Other values (16)	140	4.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3023	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	769	25.4%
h	741	24.5%
1	656	21.7%
3	226	7.5%
2	215	7.1%
7	97	3.2%
5	75	2.5%
e	40	1.3%
l	36	1.2%
n	28	0.9%
Other values (16)	140	4.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3023	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	769	25.4%
h	741	24.5%
1	656	21.7%
3	226	7.5%
2	215	7.1%
7	97	3.2%
5	75	2.5%
e	40	1.3%
l	36	1.2%
n	28	0.9%
Other values (16)	140	4.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3023	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	769	25.4%
h	741	24.5%
1	656	21.7%
3	226	7.5%
2	215	7.1%
7	97	3.2%
5	75	2.5%
e	40	1.3%
l	36	1.2%
n	28	0.9%
Other values (16)	140	4.6%

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	name	price	brand	no_of_votes	rating	os	utility	thickness	weight	warranty	display_size	ppi	aspect_ratio	antiglare	ram	ssd	graphic	cache	thread	core	hdmi	mcr	wifi	bluetooth	backlit_keyboard	inbuilt_microphone	thunderbolt	fingerprint_sensor	ethernet	camera	num_of_cell	battery_capacity	pixel_width	pixel_height	usb3	usb2	processor_brand	processor_model	processor_gen
0	Acer One 14 Z8-415 Laptop (11th Gen Core i3 / 8GB/ 512GB SSD/ Win11 Home)	25990.0	Acer	1086	4.10	Windows	Everyday Use	21.60	1.50	1.0	14.0	157	16:9	1	8	512	Integrated	6	4.0	2.0	1	0	1	1	0	1	0	0	1	NaN	2.0	45.50	1920.0	1080.0	0	1	Intel	i3	11th
1	Wings Nuvobook V1 Laptop (11th Gen Core i5/ 8GB/ 512GB SSD/ Win11)	34990.0	Wings	69	4.70	Windows	Business	NaN	1.60	1.0	15.6	141	16:9	1	8	512	Integrated	8	8.0	4.0	1	0	1	1	1	1	0	0	0	NaN	NaN	17.85	1080.0	1920.0	0	1	Intel	i5	11th
2	MSI Thin GF63 12HW-012IN Gaming Laptop (12th Gen Core i5/ 16GB/ 512GB SSD/ Win11 Home/ 4GB Graphics)	49990.0	MSI	172	4.25	Windows	Performance	21.70	1.86	2.0	15.6	141	16:9	1	16	512	Integrated	12	12.0	8.0	1	0	1	1	1	1	1	0	1	NaN	3.0	51.00	1920.0	1080.0	3	0	Intel	i5	12th
3	Acer Nitro V ANV15-51 Gaming Laptop (13th Gen Core i5/ 8GB/ 512GB SSD/ Win11/ 6GB Graph)	79745.0	Acer	75	4.50	Windows	Gaming	25.90	2.60	1.0	15.6	141	16:9	1	8	512	NVIDIA	12	12.0	8.0	1	0	1	1	1	1	0	0	1	NaN	NaN	NaN	1920.0	1080.0	3	0	Intel	i5	13th
4	Acer Aspire Lite AL15-51 Laptop (AMD Ryzen 5 5500U/ 16GB/ 512GB SSD/ Win11)	35990.0	Acer	162	4.00	Windows	Performance	19.70	1.59	1.0	15.6	141	16:9	1	16	512	Integrated	8	12.0	6.0	1	1	1	1	0	1	0	0	1	NaN	3.0	36.00	1920.0	1080.0	0	1	AMD	5	5th
5	HP Victus 16-s0094AX Gaming Laptop (AMD Ryzen 7 7840HS/ 16GB/ 1TB SSD/ Win11/ 6GB Graph)	92221.0	HP	406	4.30	Windows	Gaming	24.00	2.48	1.0	16.1	137	16:9	1	16	1024	NVIDIA	16	16.0	8.0	1	0	1	1	1	1	1	0	1	NaN	4.0	70.00	1920.0	1080.0	3	0	AMD	7	7th
6	Wings Nuvobook Pro Laptop (11th Gen Core i7/ 16GB/ 512GB SSD/ Win11)	45990.0	Wings	89	4.15	Windows	Business	16.30	1.48	1.0	14.0	157	16:9	1	16	512	Integrated	12	8.0	4.0	1	0	1	1	1	1	0	0	0	NaN	NaN	17.85	1080.0	1920.0	0	1	Intel	i7	11th
7	HP 15s-fr2515TU Laptop (11th Gen Core i3/ 8GB/ 512GB SSD/ Win11)	37650.0	HP	392	4.10	Windows	Everyday Use	17.90	1.70	1.0	15.6	141	16:9	1	8	512	Integrated	6	4.0	2.0	1	1	1	1	0	1	0	0	0	NaN	3.0	41.00	1920.0	1080.0	2	0	Intel	i3	11th
8	Asus Vivobook 16X 2022 M1603QA-MB502WS Laptop (Ryzen 5-5600H/ 8GB/ 512GB SSD/ Win11 Home)	49990.0	Asus	768	4.25	Windows	Gaming	20.00	1.80	1.0	16.0	283	16:10	1	8	512	AMD	16	12.0	6.0	1	0	1	1	1	1	0	1	0	NaN	3.0	50.00	1920.0	1200.0	0	1	AMD	5	5th
9	MSI Modern 14 C11M-031IN Laptop (11th Gen Core i3/ 8GB/ 512GB SSD/ Win11 Home)	28990.0	MSI	703	4.20	Windows	Performance	19.35	1.40	1.0	14.0	157	16:9	1	8	512	Integrated	6	4.0	2.0	1	0	1	1	1	1	0	0	0	NaN	3.0	NaN	1920.0	1080.0	0	2	Intel	i3	11th

	name	price	brand	no_of_votes	rating	os	utility	thickness	weight	warranty	display_size	ppi	aspect_ratio	antiglare	touch_screen	ram	ssd	graphic	cache	thread	core	hdmi	mcr	wifi	bluetooth	backlit_keyboard	inbuilt_microphone	thunderbolt	fingerprint_sensor	ethernet	camera	num_of_cell	battery_capacity	pixel_width	pixel_height	usb3	usb2	processor_brand	processor_model	processor_gen
788	Asus VivoBook 14 2023 X1404VA-NK541WS Laptop (13th Gen Core i5/ 16GB/ 512GB SSD/ Win11 Home)	63990.0	Asus	85	4.30	Windows	Performance	NaN	1.40	1.0	14.0	157	16:9	1	0	16	512	Integrated	12	12.0	10.0	1	0	1	1	0	1	0	1	0	NaN	3.0	NaN	1920.0	1080.0	0	1	Intel	i5	13th
789	Dell Inspiron 3525 D560771WIN9S Laptop (AMD Ryzen 5 5625U/ 8GB/ 512GB SSD/ Win11)	45999.0	Dell	109	4.50	Windows	Everyday Use	23.5	1.68	1.0	15.6	141	16:9	1	0	8	512	AMD	16	12.0	6.0	1	1	1	1	1	1	0	0	1	NaN	3.0	41.0	1920.0	1080.0	0	1	AMD	5	5th
790	Asus VivoBook 14 2023 X1404VA-NK522WS Laptop (13th Gen Core i5/ 8GB/ 512GB SSD/ Win11 Home)	59990.0	Asus	130	4.20	Windows	Performance	NaN	1.40	1.0	14.0	157	16:9	1	0	8	512	Integrated	12	12.0	10.0	1	0	1	1	1	1	0	1	0	NaN	3.0	NaN	1920.0	1080.0	0	1	Intel	i5	13th
791	Asus Vivobook 15 OLED 2023 X1505VA-LK542WS Laptop (13th Gen Core i5/ 16GB/ 512GB SSD/ Win11 Home)	74990.0	Asus	85	4.25	Windows	Performance	NaN	1.70	1.0	15.6	141	16:9	1	0	16	512	Integrated	18	16.0	12.0	1	0	1	1	1	1	0	1	0	NaN	NaN	50.0	1920.0	1080.0	0	1	Intel	i5	13th
792	Asus VivoBook 14 2023 X1404VA-NK321WS Laptop (13th Gen Core i3/ 8GB/ 512GB SSD/ Win11 Home)	45990.0	Asus	148	4.55	Windows	Performance	NaN	1.40	1.0	14.0	157	16:9	1	0	8	512	Integrated	NaN	8.0	6.0	1	0	1	1	1	1	0	1	0	NaN	3.0	NaN	1920.0	1080.0	0	1	Intel	i3	13th
793	Asus Zenbook S13 OLED 2023 UX5304VA-NQ762WS Laptop (13th Gen Core i7/ 32GB/ 1TB SSD/ Win11)	144990.0	Asus	100	4.30	Windows	Performance	10.9	1.00	1.0	13.3	255	16:10	1	0	32	1024	Integrated	12	12.0	10.0	1	0	1	1	1	1	1	0	0	NaN	4.0	63.0	2880.0	1800.0	1	0	Intel	i7	13th
794	Asus Zenbook 14 OLED 2023 UX3402VA-KM541WS Laptop (13th Gen Core i5/ 16GB/ 512GB SSD/ Win11 Home)	92990.0	Asus	82	4.15	Windows	Performance	16.9	1.39	1.0	14.0	243	16:10	1	0	16	512	Integrated	12	16.0	12.0	1	0	1	1	1	1	0	1	0	NaN	NaN	75.0	2880.0	1800.0	1	0	Intel	i5	13th
795	Asus Zenbook 14 OLED 2023 UX3402VA-KM742WS Laptop (13th Gen Core i7/ 16GB/ 512GB SSD/ Win11 Home)	112990.0	Asus	80	4.60	Windows	Performance	16.9	1.39	1.0	14.0	243	16:10	1	0	16	512	Integrated	18	16.0	12.0	1	0	1	1	1	1	0	1	0	NaN	NaN	75.0	2880.0	1800.0	1	0	Intel	i7	13th
796	Asus Zenbook S13 OLED 2023 UX5304VA-NQ542WS Laptop (13th Gen Core i5/ 16GB/ 512GB SSD/ Win11)	99990.0	Asus	111	4.45	Windows	Performance	10.9	1.00	1.0	13.3	255	16:10	1	0	16	512	Integrated	12	12.0	10.0	1	0	1	1	1	1	1	0	0	NaN	4.0	63.0	2880.0	1800.0	1	0	Intel	i5	13th
797	Asus Vivobook S14 Flip 2022 TN3402QA-LZ520WS Laptop (AMD Ryzen 5-5600H/ 8GB/ 512GB SSD/Win11)	58990.0	Asus	205	4.50	Windows	Performance	NaN	1.50	1.0	14.0	162	16:10	0	1	8	512	AMD	16	12.0	6.0	1	0	1	1	1	1	0	1	0	NaN	3.0	NaN	1920.0	1200.0	0	1	AMD	5	5th

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters